class_docstr: Independent multivariate Gaussian distribution parametrized by mean.
code: def entropy(self, inputs):
      (_, std) = self._params(inputs)
      return jnp.sum(
          jnp.exp(std) + 0.5 * jnp.log(2.0 * jnp.pi * jnp.e), axis=-1
      )
  
imports: import gin
  import gym
  import numpy
  from trax import layers
  from trax.fastmath import numpy
label_desc: Use image node_id 7 for calling the Gaussian obj's underlying member method code with example usage: obj.entropy(inputs) and returns: jnp